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A Machine Learning-Based Hypoxia-Related Gene Signatures to Facilitate Prediction of Cetuximab Response in Patients with Colorectal Cancer — Europe PMC PMID:40959565

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40959565
DOI: 10.7150/ijms.114833
License (as archived): solo-consultazione
Archived: 2026-11-10T18:03:12.901Z
SHA-256 of the archived text: 0cd36c5996ee193a3d5f300e145e6edac3078f8ff7f07bf019067b9a87c4b580
Stable URL of this page: https://metraipolis.com/documento/dc_602ed950bffe

How to cite

A Machine Learning-Based Hypoxia-Related Gene Signatures to Facilitate Prediction of Cetuximab Response in Patients with Colorectal Cancer — Europe PMC PMID:40959565 — Europe PMC (en), https://europepmc.org/article/MED/40959565 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_602ed950bffe (Metraipolis archive dc_602ed950bffe, sha256 0cd36c5996ee193a3d5f300e145e6edac3078f8ff7f07bf019067b9a87c4b580)

BibTeX

@misc{dc602ed950bffe,
  title = {A Machine Learning-Based Hypoxia-Related Gene Signatures to Facilitate Prediction of Cetuximab Response in Patients with Colorectal Cancer — Europe PMC PMID:40959565},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40959565},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_602ed950bffe; sha256 0cd36c5996ee193a3d5f300e145e6edac3078f8ff7f07bf019067b9a87c4b580},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/40959565. Agents can read the archived copy with the MCP tool read_document.